Jakub Kubajek is a Senior Data Scientist with 11 years of experience blending deep learning, statistics and econometrics to deliver production-ready NLP and computer vision solutions. He has driven measurable impact—raising information retrieval Top-1 by 20 percentage points and shipping an MVP for automatic ticket classification within three months—while also leading research and rapid prototyping across self-supervised learning, segmentation, and multimodal projects. Comfortable across the stack, he writes clean, deployable Python code, builds pipelines for model feature generation and gradient-boosted classifiers, and has hands-on experience with Docker and deployment. His background in government analytics and macroeconomics gives him an uncommon ability to translate complex quantitative problems into robust ML products. Based in Warsaw, he balances technical rigor with practical delivery and brings a recruiter’s eye from participating in hiring processes.
11 years of coding experience
6 years of employment as a software developer
Extended mathematics geography and history over 90% average from final exams (Matura), Extended mathematics geography and history over 90% average from final exams (Matura) at II Liceum Ogólnokształcące im. Stefana Batorego w Warszawie
Master's degree Quantitative Methods in Economics and Information Systems, Master's degree Quantitative Methods in Economics and Information Systems at SGH Warsaw School of Economics
Contributions:10 commits, 9 pushes, 1 branch in 9 days
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